P–731 Correlation between fertility rate, utilisation of ART and gross domestic product across Europe

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
A Lass ◽  
G Lass
Keyword(s):  
Correlation Coefficient ◽  
Developed Countries ◽  
Fertility Rate ◽  
Gdp Per Capita ◽  
Natural Fertility ◽  
European Economic Area ◽  
Eu Member States ◽  
Utilisation Rate ◽  
Registration Number ◽  
Per Capita

Abstract Study question Are there any correlations between a country’s wealth determined by GDP per capita and its total fertility rate (TFR) and utilisation of ART in Europe? Summary answer There is strong correlation across Europe between GDP and utilisation of ART. This correlation does not exist when only investigating the European Economic Area (EEA) What is known already The number of documented ART cycles has increased significantly from 203,893 cycles in 1997 (first European report) to 918,159 in 2016. During the same period, growth was observed in European GDP and, to a lesser extent, TFR following a significant and prolonged decline. Global data suggest that utilisation rate is higher in developed countries, speculated to be due to either generous reimbursement systems or higher affordability for patients paying out of pocket. This study analysed for the first time the relationships between national GDP, TFR and utilisation in Europe both as a whole, and specifically the more affluent EEA Study design, size, duration This study was an analysis of publicly available primary international reports: total cycles in the European IVF-monitoring Consortium (EIM) and TFR, GDP and population size from the World Bank indicators (https://data.worldbank.org/indicator). The period studied ranged from the first EIM report for 1997 (published in 1999) to the 20th report for 2016 (published in 2020). Participants/materials, setting, methods TFR was described as births per women (BPW) and country wealth was presented as GDP per capita in US Dollars. Utilisation rate was defined as the total national number of cycles (fresh IVF and ICSI, and frozen embryo transfer) divided per population, and presented as cycles per million (CPM). When utilisation was not reported, total cycles were projected by proportional calculation. Pearson Correlations were calculated using Sigmaplot for utilisation, GDP and TFR in 2016 Main results and the role of chance Forty countries were included in the EIM report for 2016, of which 18 reported in full. The median utilisation rate was 1280 CPM (range 162 - 3,156) and median TFR was 1.6 BPW (range 1.26 - 2.73); only one country, Kazakhstan, had a TFR above the natural fertility replacement level of 2.1 BPW. Mean GDP was $31604 per capita (range $10,610 - $110,650). There was no correlation between TFR and utilisation or between TFR and GDP, however there was a significant positive correlation between GDP and CPM (correlation coefficient = 0.428; P = 0.00661). Compared to Europe as a whole, analysis of only the EEA countries – EU member states plus Norway, Iceland, and Switzerland – revealed a similar median TFR (1.59), but a 27% increase in the utilisation rate to 1629 CPM (range: 317 – 3157) and 24% rise in GDP per capita to $39,300 (range: $19,885- $110,650). For the EEA, no significant correlations were observed, including between GDP and utilisation (correlation coefficient = 0.131; P = 0.507). Additionally, there was no significant correlation between TFR and GDP in the EU for the period of 1997 – 2016. Limitations, reasons for caution The data is a snapshot of a single year, but we observed similar outcomes in previous years. Projection calculation of utilisation in partially reporting countries may cause bias, however, with a reporting level of 92% (1347 of 1467 clinics), this bias is probably very limited. Wider implications of the findings: Findings of this study confirm that there are strong disparities in the availability of ART even in Europe. This difference does not exist in the more affluent countries in Europe suggesting that the reason for lower utilisation in lower-income countries being reduced affordability. Trial registration number NA

The Reproduction Vector of the Russian Economy: 1999-2007

2008 ◽  
pp. 94-109 ◽  
Author(s):  
D. Sorokin
Keyword(s):  
Economic Policy ◽  
Human Capital ◽  
Growth Rates ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Real Sector ◽  
Russian Economy ◽  
Per Capita ◽  
The Developed Countries

The problem of the Russian economy’s growth rates is considered in the article in the context of Russia’s backwardness regarding GDP per capita in comparison with the developed countries. The author stresses the urgency of modernization of the real sector of the economy and the recovery of the country’s human capital. For reaching these goals short- or mid-term programs are not sufficient. Economic policy needs a long-term (15-20 years) strategy, otherwise Russia will be condemned to economic inertia and multiplying structural disproportions.

scholarly journals Using fuzzy logic for evaluating the level of countries’ (regions’) economic development

2012 ◽  
Vol 59 (3) ◽  
pp. 293-310 ◽  
Author(s):  
Gordan Stojic
Keyword(s):  
Mathematical Model ◽  
Economic Development ◽  
Fuzzy Logic ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Industrial Growth ◽  
The Poor ◽  
The World ◽  
Level Of Economic Development ◽  
Per Capita

There are several divisions of countries and regions in the world. Besides geo-political divisions, there also are economic divisions. The most common economic division is the that on developed countries and the poor ones. These divisions are a consequence of the level of: GDP, GDP per capita, unemployment rate, industrial growth, and so on. The question is how to define a mathematical model based on which the following will be assessed: who is rich and who is poor, or who is economically developed and who is not? How the boundaries of transition from one category to another can be defined? This paper presents a model for evaluating the level of economic development of countries and regions using "fuzzy" logic. The model was tested on a sample of 19 EU member countries and aspirants for membership.

The Environmental Kuznets Curve

2017 ◽  
Author(s):  
David I. Stern
Keyword(s):  
Economic Growth ◽  
Environmental Impacts ◽  
Environmental Kuznets Curve ◽  
Human Impacts ◽  
Developed Countries ◽  
Environmental Problems ◽  
Gdp Per Capita ◽  
Kuznets Curve ◽  
Per Capita ◽  
The Impact

The environmental Kuznets curve (EKC) is a hypothesized relationship between environmental degradation and GDP per capita. In the early stages of economic growth, pollution emissions and other human impacts on the environment increase, but beyond some level of GDP per capita (which varies for different indicators), the trend reverses, so that at high income levels, economic growth leads to environmental improvement. This implies that environmental impacts or emissions per capita are an inverted U-shaped function of GDP per capita. The EKC has been the dominant approach among economists to modeling ambient pollution concentrations and aggregate emissions since Grossman and Krueger introduced it in 1991 and is even found in introductory economics textbooks. Despite this, the EKC was criticized almost from the start on statistical and policy grounds, and debate continues. While concentrations and also emissions of some local pollutants, such as sulfur dioxide, have clearly declined in developed countries in recent decades, evidence for other pollutants, such as carbon dioxide, is much weaker. Initially, many understood the EKC to imply that environmental problems might be due to a lack of sufficient economic development, rather than the reverse, as was conventionally thought. This alarmed others because a simplistic policy prescription based on this idea, while perhaps addressing some issues like deforestation or local air pollution, could exacerbate environmental problems like climate change. Additionally, many of the econometric studies that supported the EKC were found to be statistically fragile. Some more recent research integrates the EKC with alternative approaches and finds that the relation between environmental impacts and development is subtler than the simple picture painted by the EKC. This research shows that usually, growth in the scale of the economy increases environmental impacts, all else held constant. However, the impact of growth might decline as countries get richer, and richer countries are likely to make more rapid progress in reducing environmental impacts. Finally, there is often convergence among countries, so that countries that have relatively high levels of impacts reduce them more quickly or increase them more slowly, all else held constant.

Commanding the “Be Fruitful and Multiply” Directive: Reproductive Ethics, Law, and Policy in Israel

2010 ◽  
Vol 19 (3) ◽  
pp. 363-371 ◽  
Author(s):  
DANIEL SPERLING
Keyword(s):  
Exchange Rate ◽  
Mortality Rate ◽  
Life Expectancy ◽  
Developed Countries ◽  
Infant Mortality Rate ◽  
Gdp Per Capita ◽  
Reproductive Ethics ◽  
Live Births ◽  
Law And Policy ◽  
Per Capita

As of June 2009, Israel’s population was 7,424,400 people, 5,604,900 of which were Jewish, 1,502,400 were Arabs, and approximately 317,200 had no religion or are non-Arab Christians. Established in 1948, Israel is a highly urban and industrialized country. Its gross domestic product (GDP) per capita (based on exchange rate) is US$23,257, positioning it among the European developed countries. Life expectancy is 79 years for males and 82 years for females, with infant mortality rate of 4 cases per 1,000 live births. Of Israel’s GDP, 7.7% is spent on health.

scholarly journals Impacts from Economic Development and Environmental Factors on Life Expectancy: A Comparative Study Based on Data from Both Developed and Developing Countries from 2004 to 2016

2021 ◽  
Vol 18 (16) ◽  
pp. 8559
Author(s):  
Zhiheng Chen ◽  
Yuting Ma ◽  
Junyi Hua ◽  
Yuanhong Wang ◽  
Hongpeng Guo
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Gini Coefficient ◽  
Negative Impact ◽  
Positive Impact ◽  
Developed Countries ◽  
Environmental Indicators ◽  
Gdp Per Capita ◽  
Per Capita ◽  
Urbanization Rate

Both economic development level and environmental factors have significant impacts on life expectancy at birth (LE). This paper takes LE as the research object and selects nine economic and environmental indicators with various impacts on LE. Based on a dataset of economic and environmental indicators of 20 countries from 2004 to 2016, our research uses the Pearson Correlation Coefficient to evaluate the correlation coefficients between the indicators, and we use multiple regression models to measure the impact of each indicator on LE. Based on the results from models and calculations, this study conducts a comparative analysis of the influencing mechanisms of different indicators on LE in both developed and developing countries, with conclusions as follow: (1) GDP per capita and the percentage of forest area to land area have a positive impact on LE in developed countries; however, they have a negative impact on LE in developing countries. Total public expenditure on education as a percentage of GDP and fertilizer consumption have a negative impact on LE in developed countries; however, they have a positive impact on LE in developing countries. Gini coefficient and average annual exposure to PM2.5 have no significant effect on LE in developed countries; however, they have a negative impact on LE in developing countries. Current healthcare expenditures per capita have a negative impact on LE in developed countries, and there is no significant impact on LE in developing countries. (2) The urbanization rate has a significant positive impact on LE in both developed countries and developing countries. Carbon dioxide emissions have a negative impact on LE in both developed and developing countries. (3) In developed countries, GDP per capita has the greatest positive impact on LE, while fertilizer consumption has the greatest negative impact on LE. In developing countries, the urbanization rate has the greatest positive impact on LE, while the Gini coefficient has the greatest negative impact on LE. To improve and prolong LE, it is suggested that countries should prioritize increasing GDP per capita and urbanization level. At the same time, countries should also work on reducing the Gini coefficient and formulating appropriate healthcare and education policies. On the other hand, countries should balance between economic development and environmental protection, putting the emphasis more on environmental protection, reducing environmental pollution, and improving the environment’s ability of self-purification.

scholarly journals Pomoc publiczna na szkolenia pracowników a konkurencyjność gospodarki Unii Europejskiej

2017 ◽  
pp. 159-173
Author(s):  
Piotr Podsiadło
Keyword(s):  
State Aid ◽  
Point Of View ◽  
Gdp Per Capita ◽  
The European Union ◽  
Skilled Workers ◽  
Member States ◽  
Eu Member States ◽  
Positive Externalities ◽  
Per Capita ◽  
The Eu

The paper discusses guidelines for implementation of art. 107-109 of the Treaty on the Functioning of the European Union, from the point of view of state aid for training. Training usually generates positive externalities for society as a whole, since it increases the pool of skilled workers from which other firms may draw, improves the competitiveness of the EU industry and plays an important role in the EU employment strategy. Statistical analysis was carried out on state aid granted by the EU Member States in the period 2001-2014 - from the perspective of its impact on competitiveness of these countries. This should lead to verification of thesis that the amount of state aid granted by the EU Member States for training, should positively correlate with the size of the GDP per capita of these countries

scholarly journals Stigma Levels Toward Psychiatric Patients Among Medical Students—A Worldwide Online Survey Across 65 Countries

2021 ◽  
Vol 12 ◽  
Author(s):  
Mateusz Babicki ◽  
Monika Małecka ◽  
Krzysztof Kowalski ◽  
Bogna Bogudzińska ◽  
Patryk Piotrowski
Keyword(s):  
Medical Students ◽  
Mental Disorders ◽  
Online Survey ◽  
Psychiatric Patients ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Computer Assisted ◽  
Undergraduate Medical Students ◽  
Everyday Functioning ◽  
Per Capita

Background: According to epidemiological data, over 450 million people worldwide suffer from mental disorders, presenting one of the major challenges of modern medicine. In their everyday lives, patients, in addition to fighting the disease itself, often struggle with stigmatization. This phenomenon negatively affects both the diagnostic and therapeutic processes, as well as the patients' everyday functioning. This study aimed to assess stigma attitudes toward psychiatry and psychiatric patients among undergraduate medical students.Methods: This study used a Computer-Assisted Web Interview (CAWI), which included the standardized items from the Mental Illness: Clinicians' Attitudes (MICA-2) scale to evaluate stigma. The study was disseminated via the internet to students from medical universities from 65 countries worldwide. Participation was voluntary and anonymous. The study involved 1,216 students from these 65 countries. Most of the sample were women, and most were medical faculty students and students living in cities with more than 500,000 residents. Taking into consideration Gross Domestic Product (GDP) per capita and Human Development Index (HDI) variables, it can be seen that there was a prevalence of medical students from highly developed countries.Results: For the whole sample, the mean MICA-2 score was 40.5 points. Women and medical and nursing students showed more positive attitudes toward psychiatric patients. Students from countries with the highest economic development levels also achieved statistically lower MICA-2 scores. Lower score means a more positive attitude.Conclusion: Stigma toward both psychiatry and psychiatric patients is common among undergraduate medical students. Female students and respondents with a history of mental disorders in countries with high HDI and GDP per capita indices show more favorable attitudes than other medical students. There is a need to further our understanding of the problem of stigmatization, both among the general population and among medical personnel, and to implement and maintain appropriate measures to reduce stigma toward psychiatry.

scholarly journals Emisi Karbon dan Produk Domestik Bruto: Investigasi Hipotesis Environmental Kuznets Curve (EKC) pada Negara Berpendapatan Menengah di Kawasan ASEAN

2020 ◽  
Vol 8 (3) ◽  
pp. 230-246
Author(s):  
Muhamad Ameer Noor ◽  
Putu Mahardika Adi Saputra
Keyword(s):  
Environmental Kuznets Curve ◽  
Carbon Emission ◽  
Time Series Data ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Series Data ◽  
Kuznets Curve ◽  
Middle Income ◽  
Trade Offs ◽  
Per Capita

Policymakers in the world are concerned with carbon emission due to the risk of global warming. Many studies on Environmental Kuznets Curve (EKC) consider carbon emission as a proxy of environmental degradation. This study aimed to investigate the existence of EKC and identify variations of relationships between carbon emissions and GDP per capita in ASEAN middle-income countries. The study was conducted on Indonesia, Thailand, Philippines, and Malaysia based on 1971-2014 time series data using a simultaneous model (2SLS) for each country. The main variables studied were GDP per capita, square of GDP per capita, and carbon emission supported by other variables as the controlling variables. Validation on EKC existence was determined by GDP and GDP squared influence on carbon emission, while variations of relationship between GDP and carbon emission were based on the result of simultaneous regressions. The results showed that the existence of the EKC could not be validated in all countries because energy and transportation policies in each country failed to reduce the emission. On the other hand, carbon emission had a positive unidirectional influence on GDP in all countries. The effect of carbon emission coefficient to GDP showed that Thailand ranked the highest in CO2 efficiency, followed by Indonesia, Philippines, and Malaysia. This study recommended that carbon emission reduction policies in the four countries should focus more to easier access to environmentally friendly technology from developed countries for ensuring trade-offs between the economy and environment.

scholarly journals The allocation of financial resources of the EU Structural Funds and Cohesion Fund during the period 2007–2013

2011 ◽  
Vol 57 (No. 2) ◽  
pp. 49-56
Author(s):  
W. Heijman ◽  
T. Koch
Keyword(s):  
Financial Resources ◽  
Gdp Per Capita ◽  
Member States ◽  
The Real ◽  
Eu Member States ◽  
Structural Funds ◽  
Cohesion Fund ◽  
Eu Structural Funds ◽  
Per Capita ◽  
The Eu

The article describes a model to predict the allocation of the EU Structural Funds and the Cohesion Fund over the EU member states. By comparing the predicted allocation with the real allocation, it is possible to indicate which member states receive more and which countries receive less than the predicted share. The variables determining the predicted allocation are the GDP per capita and the size of the population.

Konwergencja beta, sigma i gamma krajów postsocjalistycznych do Europy Zachodniej

2019 ◽  
Vol 17 (1) ◽  
pp. 217-243
Author(s):  
Mariusz Próchniak
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Less Developed Countries ◽  
Per Capita ◽  
Γ Convergence ◽  
Over Time

The study aims to verify the existence of convergence of 28 European Union (EU) members and 16 non-EU post-socialist countries. The analysis covers the 1995–2018 period. The research has also been conducted for shorter subperiods: 1995–2004, 2004–2018, and 2010–2018. Three types of convergence are taken into account: beta (less developed countries exhibit a faster rate of economic growth than more developed ones), sigma (income differentiation decreases over time), and gamma (countries change their ranks in the GDP per capita ranking). The study confirms the existence of β-, σ-, and γ-convergence in both groups of countries. Convergence, however, is not an automatic phenomenon and there are years in which σ-divergence and γ-divergence were observed.

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